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| Layer () |
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| Layer (const LayerParams ¶ms) |
| Initializes only name, type and blobs fields. More...
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virtual | ~Layer () |
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virtual void | applyHalideScheduler (Ptr< BackendNode > &node, const std::vector< Mat *> &inputs, const std::vector< Mat > &outputs, int targetId) const |
| Automatic Halide scheduling based on layer hyper-parameters. More...
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virtual void | finalize (const std::vector< Mat *> &input, std::vector< Mat > &output) |
| Computes and sets internal parameters according to inputs, outputs and blobs. More...
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void | finalize (const std::vector< Mat > &inputs, std::vector< Mat > &outputs) |
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std::vector< Mat > | finalize (const std::vector< Mat > &inputs) |
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virtual void | forward (std::vector< Mat *> &input, std::vector< Mat > &output, std::vector< Mat > &internals)=0 |
| Given the input blobs, computes the output blobs . More...
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void | forward (const std::vector< Mat > &inputs, std::vector< Mat > &outputs, std::vector< Mat > &internals) |
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virtual int64 | getFLOPS (const std::vector< MatShape > &inputs, const std::vector< MatShape > &outputs) const |
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virtual bool | getMemoryShapes (const std::vector< MatShape > &inputs, const int requiredOutputs, std::vector< MatShape > &outputs, std::vector< MatShape > &internals) const |
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virtual Ptr< BackendNode > | initHalide (const std::vector< Ptr< BackendWrapper > > &inputs) |
| Returns Halide backend node. More...
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virtual int | inputNameToIndex (String inputName) |
| Returns index of input blob into the input array. More...
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virtual int | outputNameToIndex (String outputName) |
| Returns index of output blob in output array. More...
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void | run (const std::vector< Mat > &inputs, std::vector< Mat > &outputs, std::vector< Mat > &internals) |
| Allocates layer and computes output. More...
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virtual bool | setActivation (const Ptr< ActivationLayer > &layer) |
| Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case. More...
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virtual bool | setBatchNorm (const Ptr< BatchNormLayer > &layer) |
| Tries to attach to the layer the subsequent batch normalization layer, i.e. do the layer fusion in a partial case. More...
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void | setParamsFrom (const LayerParams ¶ms) |
| Initializes only name, type and blobs fields. More...
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virtual bool | setScale (const Ptr< ScaleLayer > &layer) |
| Tries to attach to the layer the subsequent scaling layer, i.e. do the layer fusion in a partial case. More...
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virtual bool | supportBackend (int backendId) |
| Ask layer if it support specific backend for doing computations. More...
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virtual Ptr< BackendNode > | tryAttach (const Ptr< BackendNode > &node) |
| Implement layers fusing. More...
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virtual void | unsetAttached () |
| "Deattaches" all the layers, attached to particular layer. More...
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state. More...
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virtual bool | empty () const |
| Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
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virtual String | getDefaultName () const |
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virtual void | read (const FileNode &fn) |
| Reads algorithm parameters from a file storage. More...
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virtual void | save (const String &filename) const |
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virtual void | write (FileStorage &fs) const |
| Stores algorithm parameters in a file storage. More...
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void | writeFormat (FileStorage &fs) const |
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Slice layer has several modes:
- Caffe mode
- Parameters
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[in] | axis | Axis of split operation |
[in] | slice_point | Array of split points |
Number of output blobs equals to number of split points plus one. The first blob is a slice on input from 0 to slice_point
[0] - 1 by axis
, the second output blob is a slice of input from slice_point
[0] to slice_point
[1] - 1 by axis
and the last output blob is a slice of input from slice_point
[-1] up to the end of axis
size.
- TensorFlow mode
- Parameters
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begin | Vector of start indices |
size | Vector of sizes |
More convinient numpy-like slice. One and only output blob is a slice input[begin[0]:begin[0]+size[0], begin[1]:begin[1]+size[1], ...]
- Torch mode
- Parameters
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axis | Axis of split operation |
Split input blob on the equal parts by axis
.